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reasoning benchmark

HumanEval+ Leaderboard

Enhanced version of HumanEval that extends the original test cases by 80x using EvalPlus framework for rigorous evaluation of LLM-synthesized code functional correctness, detecting previously undetected wrong code

Updated Aug 17, 2026

Models10
Model coverage10
MetricScore
EvidenceB

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HumanEval+ Ranking

Higher score ranks better on this benchmark.

10 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMIPhi 4 ReasoningMicrosoftScore92.9%Percentile100.0%Participants10EvidenceCEvaluatedAug 17, 2026
Rank02ModelMIPhi 4 Reasoning PlusMicrosoftScore92.3%Percentile88.9%Participants10EvidenceCEvaluatedAug 17, 2026
Rank03ModelIBGranite 3.3 8B BaseIBMScore86.1%Percentile77.8%Participants10EvidenceCEvaluatedAug 17, 2026
Rank04ModelIBGranite 3.3 8B InstructIBMScore86.1%Percentile66.7%Participants10EvidenceCEvaluatedAug 17, 2026
Rank05ModelMIPhi 4MicrosoftScore82.8%Percentile55.6%Participants10EvidenceCEvaluatedAug 17, 2026
Rank06ModelIBIBM Granite 4.0 Tiny PreviewIBMScore78.3%Percentile44.4%Participants10EvidenceCEvaluatedAug 17, 2026
Rank07ModelXIMiMo-V2.5-ProXiaomiScore75.6%Percentile33.3%Participants10EvidenceCEvaluatedAug 17, 2026
Rank08ModelACQwen2.5 32B InstructAlibaba Cloud / Qwen TeamScore52.4%Percentile22.2%Participants10EvidenceCEvaluatedAug 17, 2026
Rank09ModelACQwen2.5 14B InstructAlibaba Cloud / Qwen TeamScore51.2%Percentile11.1%Participants10EvidenceCEvaluatedAug 17, 2026
Rank10ModelBAERNIE 4.5BaiduScore25.0%Percentile0.0%Participants10EvidenceCEvaluatedAug 17, 2026

HumanEval+ Highlights

The leading models and scores on this benchmark.

Rank #1Phi 4 Reasoning92.9%Rank #2Phi 4 Reasoning Plus92.3%Rank #3Granite 3.3 8B Base86.1%Rank #4Granite 3.3 8B Instruct86.1%

HumanEval+ Score Distribution

A closer view of the leading scores on this benchmark.

HumanEval+

The Top AI Models for HumanEval+

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis humaneval+ AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MI
    Phi 4 ReasoningMicrosoft
    Score
    92.9%
    Price
    $0.13 input / $0.50 output per 1M tokens

    Strengths

    • Ranks #1 of 10 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HumanEval+, not total model capability
  2. 02
    MI
    Phi 4 Reasoning PlusMicrosoft
    Score
    92.3%
    Price
    $0.13 input / $0.50 output per 1M tokens

    Strengths

    • Ranks #2 of 10 compared models
    • 89th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HumanEval+, not total model capability
  3. 03
    IB
    Granite 3.3 8B BaseIBM
    Score
    86.1%
    Speed
    Up to 50 tok/s via Replicate

    Strengths

    • Ranks #3 of 10 compared models
    • 78th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HumanEval+, not total model capability
  4. 04
    IB
    Granite 3.3 8B InstructIBM
    Score
    86.1%
    Speed
    Up to 50 tok/s via Replicate

    Strengths

    • Ranks #4 of 10 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HumanEval+, not total model capability
  5. 05
    MI
    Phi 4Microsoft
    Score
    82.8%
    Price
    $0.13 input / $0.50 output per 1M tokens
    Speed
    Up to 33 tok/s via DeepInfra

    Strengths

    • Ranks #5 of 10 compared models
    • 56th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HumanEval+, not total model capability

Selection summary

Best AI Models for HumanEval+

Phi 4 Reasoning currently leads HumanEval+ with 92.9%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Benchmark rank #1Phi 4 Reasoning92.9% · $0.13 input / $0.50 output per 1M tokensBenchmark rank #2Phi 4 Reasoning Plus92.3% · $0.13 input / $0.50 output per 1M tokensBenchmark rank #3Granite 3.3 8B Base86.1% · Up to 50 tok/s via Replicate

What is HumanEval+?

What HumanEval+ measures and how its scores work.

Enhanced version of HumanEval that extends the original test cases by 80x using EvalPlus framework for rigorous evaluation of LLM-synthesized code functional correctness, detecting previously undetected wrong code

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
HumanEval+
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
humaneval+|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about HumanEval+.

Which model scores highest on HumanEval+?

Phi 4 Reasoning is currently ranked first with 92.9%.

What does HumanEval+ measure?

Enhanced version of HumanEval that extends the original test cases by 80x using EvalPlus framework for rigorous evaluation of LLM-synthesized code functional correctness, detecting previously undetected wrong code

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

10 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.